1) random installation deviation
随机安装偏差
1.
Based on the assumption of random installation deviation, the finite element met hod analyzing the initial displacement and stress of grid structures was set up.
基于随机安装偏差模式,利用空间有限单元法和概率方法,分析了网架结构由于安装偏差引起的初始应力和初始位移。
2) stochastic bias
随机偏差
1.
Separate stochastic bias two-stage decoupled wiener filters;
分离随机偏差两段解耦Wiener滤波器
2.
Using modern time-series analysis method,based on the autoregressive moving average(ARMA)innovation model and white noise estimators,a new two-stage decoupled Wiener filters are presented for descriptor systems with stochastic bias.
应用现代时间序列分析方法 ,基于ARMA新息模型和白噪声估值器 ,提出了一种分离随机偏差两段解耦Wiener滤波新方法 ,同两段解耦Kalman滤波理论相比 ,避免了解Riccati方程 ,实现了完全解耦。
4) random bias limits
随机偏差限
5) random deviation inequations
随机偏差不等式
1.
The notion of entropy density deviation and average random conditional entropy of arbitrary information sources on finite alphabet set relative to nonhomogeneous Markov chain are introduced,and the random deviation inequations between the relative entropy densities of arbitrary information sources and the average random condition entropy relative to nonhomogenous Markov chain are obtained.
通过引进有限字母集上任意信源相对于非齐次马氏链的熵密度偏差和平均随机条件熵的概念 ,得出了任意信源的相对熵密度与相对于非齐次马氏链的平均随机条件熵之间的随机偏差不等式 。
6) Random deviation theorem
随机偏差定理
1.
In this paper, a strong limit theorem represented by inequalities with random bounds which we call a random deviation theorem on Sn(i0,i1,…,im-1,ω) which hold for arbitrary countable non-homogeneous Markov chains is obtained.
本文给出了关于Sn(i0,i1,…,im-1,ω)的一个对任意可列非齐次马尔可夫链普遍成立的随机偏差定理,即用不等式表示的一个强极限定理。
补充资料：设备的安装——设置安装基准
设备的安装——设置安装基准   | ||
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说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条